Articles | Volume 7, issue 5
https://doi.org/10.5194/wes-7-1941-2022
https://doi.org/10.5194/wes-7-1941-2022
Research article
 | 
30 Sep 2022
Research article |  | 30 Sep 2022

Multifidelity multiobjective optimization for wake-steering strategies

Julian Quick, Ryan N. King, Garrett Barter, and Peter E. Hamlington

Data sets

WES_MFMOFWSS Julian Quick https://doi.org/10.5281/zenodo.7097352

Model code and software

WindSE, commit hash f217bd0986325d86ee0ffac083a71fd4ead91b63 National Renewable Energy Laboratory (NREL) https://github.com/NREL/WindSE

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Short summary
Wake steering is an emerging wind power plant control strategy where upstream turbines are intentionally yawed out of alignment with the incoming wind, thereby steering wakes away from downstream turbines. Trade-offs between the gains in power production and fatigue loads induced by this control strategy are the subject of continuing investigation. In this study, we present an optimization approach for efficiently exploring the trade-offs between power and loading during wake steering.
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